计算机科学
知识管理
工作(物理)
人工智能
钥匙(锁)
数据科学
工程类
计算机安全
机械工程
作者
Zhewei Zhang,Joe Nandhakumar,Jochem T. Hummel,Lauren Waardenburg
出处
期刊:Mis Quarterly Executive
[Indiana University Press]
日期:2020-12-01
卷期号:: 221-238
被引量:31
摘要
AI has great potential to change the way businesses operate. However, developers of AI systems face many challenges because of the significant differences compared to traditional systems. We describe how a machine learning AI system for legal practice was developed to help legal professionals make faster and better-informed decisions. We identified three key challenges encountered by developers and users and, based on their experience, provide actions and recommendations for addressing the challenges of developing machine learning AI systems for knowledge-intensive work.
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